Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem.

Abstract: Recently, visual object detection and tracking (ODT) has become ubiquitous in intelligent edge platforms. RGB camera-based ODT systems using deep learning models [1] - [2] achieve high ...